Takuya E. Kishimoto

1.8k citations
50 papers · 1.5k · h-index 17

Impact in

    • Cellular transport and secretion
  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
    • Erythrocyte Function and Pathophysiology

Papers in

Takuya E. Kishimoto

46 papers receiving 1.5k citations

Peers

Takuya E. Kishimoto
Comparison fields: 5 of 114
  • Cell Biology 565
  • Physiology 145
  • Surgery 637
  • Biophysics 80
  • Endocrinology, Diabetes and Metabolism 187
Replace Tim J. Craig with:
Tim J. Craig United Kingdom
Ulrike Mende United States
Robert Marsault France
Ning Huang China
Karl D. Bellve United States
Miriam Echevarrı́a Spain
Patricia Vázquez Spain
Seung‐Ryoung Jung United States
Simona Rodighiero Italy
Alicia Lundby Denmark
Takuya E. Kishimoto relative to Tim J. Craig United Kingdom Tim J. Craig's profile →
Citations per field
00.5×2×2.9×
Tim J. Craig · 1×
Citations per year

Countries citing papers authored by Takuya E. Kishimoto

Since Specialization
Citations

This map shows the geographic impact of Takuya E. Kishimoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takuya E. Kishimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya E. Kishimoto more than expected).

Fields of papers citing papers by Takuya E. Kishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takuya E. Kishimoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takuya E. Kishimoto. The network helps show where Takuya E. Kishimoto may publish in the future.

Co-authors

The 25 scholars most cited alongside Takuya E. Kishimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takuya E. Kishimoto Line = papers co-authored together Takuya E. Kishimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999426
2 2002233
3 200499
4 199674
5 199773
6 200562
7 200755
8 199954
9 200641
10 200140
11 200239
12 200536
13 200635
14 200534
15 201927
16 200525
17 201624
18 201817
19 202116
20 202113

About Takuya E. Kishimoto

Takuya E. Kishimoto is a scholar working on Cell Biology, Biophysics, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (13 papers), Lipid Membrane Structure and Behavior (10 papers), Pancreatic function and diabetes (7 papers), Microstructure and Mechanical Properties of Steels (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Veterinary Oncology Research (3 papers), Shape Memory Alloy Transformations (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Cell Biology (565 citations), Physiology (145 citations), Surgery (637 citations), Biophysics (80 citations) and Endocrinology, Diabetes and Metabolism (187 citations). Takuya E. Kishimoto has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Haruo Kasai, Noriko K. Takahashi, Tomomi Nemoto, Takashi Kadowaki, Hiroyasu Hatakeyama, Yasushi Miyashita, Yasuo Terauchi, Toru Aizawa, Naoto Kubota and Shigeo Murayama. Their work appears in journals such as The Journal of Physiology, Veterinary Pathology, Science, The EMBO Journal and Bioscience Biotechnology and Biochemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact